49 citations · 131 across the 37 of their papers we have counts for
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cs.LG2013
The Planning-ahead SMO Algorithm
Tobias Glasmachers
The sequential minimal optimization (SMO) algorithm and variants thereof are the de facto standard method for solving large quadratic programs for support vector machine (SVM) trai…
cs.LG2013★ 10 cited
Testing Hypotheses by Regularized Maximum Mean Discrepancy
Somayeh Danafar, Paola M. V. Rancoita, Tobias Glasmachers +2
Do two data samples come from different distributions? Recent studies of this fundamental problem focused on embedding probability distributions into sufficiently rich characterist…
stat.ML2013★ 1 cited
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
Tobias Glasmachers, Ürün Dogan
Support vector machine (SVM) training is an active research area since the dawn of the method. In recent years there has been increasing interest in specialized solvers for the imp…